@@ -41,7 +41,7 @@ CircRNAs are given as coodination on `hg19` genome, like `chr10:102683732|102685
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@@ -41,7 +41,7 @@ CircRNAs are given as coodination on `hg19` genome, like `chr10:102683732|102685
`-RBP_dir` Directory containing the RBP expression value in TPM of samples to be predicted.
`-RBP_dir` Directory containing the RBP expression value in TPM of samples to be predicted.
`-splicing_dir` Directory containing the splicing amount of circRNAs to be predicted in each sample. We have provided a basic script `script_splicingamount.py` to produce splicing amount in samples.
`-splicing_dir` Directory containing the splicing amount of circRNAs to be predicted in each sample.
**Prediction with CIRIdeep(A) using poly(A) selected RNA-seq data**
**Prediction with CIRIdeep(A) using poly(A) selected RNA-seq data**
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@@ -69,6 +69,10 @@ There are two columns in RBP expression level file, the first column identify ge
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@@ -69,6 +69,10 @@ There are two columns in RBP expression level file, the first column identify ge
|A1CF|12.5|
|A1CF|12.5|
|AAR2|23.9|
|AAR2|23.9|
**Splicing amount**
Feature of splicing amount is used in CIRI-deep. We have provided a basic script `script_splicingamount.py` to produce splicing amount in samples.
**RBP expressin of poly(A) RNA-seq data**
**RBP expressin of poly(A) RNA-seq data**
The format is as same as the RBP expression file used in total RNA-seq data. The order of genes should keep exactly the same with `demo/RBPmax_polyA.tsv`.
The format is as same as the RBP expression file used in total RNA-seq data. The order of genes should keep exactly the same with `demo/RBPmax_polyA.tsv`.
